Bill Engels

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sorry for the delay, ya'll are fast! Taking a look now

Works great for me (running the test you wrote)! Are you planning on doing all of them in this PR? the solves, eig's, etc?

Thanks for answering. @ricardoV94 you're saying Aeppl will derive the logprob of the inverse Weibull from the logprob of the Weibull? Very cool! @brandonwillard Whichever of those two choices sounds...

Put a fix in for the flaky GP test here #7567

We should also add @ferrine as an author (if he's OK with that). He came up with the hierarchical model.

RE what you said @fonnesbeck, that's definitely true. HSGPs are additive, so you can do: ```python cov = cov1 + cov2 gp = pm.gp.HSGP(m=m, c=c, cov_func=cov) ``` This can speeds...

looks good! not sure whats up with the unrelated test failures. Would it be possible to add @hchen19 as an author in the commit? [ Looks like its pretty easy...

Again, thanks for your work on this @hchen19! My fault for not merging your branch when you were finished.

And of course I approved and merged it without refreshing the tab and seeing your comment @Armavica. Sorry guys that probably makes it a bit harder to fix. Is there...

> TODO: why is it sqrt_psd in HSGP and psd in HSGPPeriodic? Which is it, or is the psd just not square rooted in the periodic version? The goal was...